Ipsos Group
Data Management
Full-time
Confidential
Location: LagosJob Type: Full-timeJob Field: Data Science / Research / Analytics About the RoleIpsos is seeking a Junior Data Scientist to support data quality, sample management, analysis, and reporting for its retail and consumer audit products. The role involves working with production and field teams to improve data quality and interpret market trends. Key Responsibilities* Manage data and sample quality for retail and consumer audits.* Support sample design and maintenance.* Estimate market universes for existing and new countries using internal and external data.* Review and sign off on data quality.* Track and report key performance indicators.* Analyze data trends and market dynamics.* Prepare presentations and insights for internal teams and clients.* Train client service teams on audit methodologies and capabilities.* Train field teams on audit procedures and store-type identification.* Work with clients, suppliers, production, and field teams. Requirements* Good interpersonal and people-management skills.* Ability to work under pressure, prioritize tasks, multitask, and meet deadlines.* Proficiency in Microsoft Office.* Excellent Excel skills, including PivotTables.* Ability to learn and use other software packages.* Strong programming skills in SQL or SAS. How to Apply📩 Interested and qualified candidates should send their Cover Letter and CV to Ipsosnigeria@ipsos.com using Data Scientist as the subject of the email.Application Deadline: Friday, 2nd October, 2026.Note: Only shortlisted candidates will be contacted.
Anonymous
Data Management
Full-time
NGN 400,000 - NGN 500,000
Lagos (Victoria Island) | HybridJob Title: Data Analyst Location: Victoria Island, Lagos Hybrid: 3 weeks onsite Compensation: ₦400,000 – ₦500,000 monthlyAbout Our Client: Our client is a fast-growing real estate data and market intelligence company in Lagos. They turn property data into insights that help businesses and investors make better decisions. Key ResponsibilitiesWrite and optimize SQL queries to extract, clean, and analyze data from multiple sourcesManage and maintain databases, ensuring data accuracy and integrityBuild interactive dashboards and reports using data visualization toolsAnalyze trends and patterns, and present findings to non-technical stakeholdersCollaborate with teams to define metrics and reporting requirementsSupport web-based reporting or dashboard interfaces using front-end skills Requirements5-6 years of experience in a data analyst roleStrong SQL and database knowledgeStrong data analysis skillsProficiency in data visualization tools (e.g., Power BI, Tableau, Looker)Basic front-end skills (HTML, CSS, JavaScript)Strong communication and problem-solving skillsAbility to work independently and meet deadlines
Juwon Electric
Data Management
Full-time
Confidential
Location: Omole phase 2, LagosEmployment Type: Full-timeDepartment: Business Intelligence / OperationsReports To: Management / Head of Operations Job SummaryThe Data Analyst will be responsible for collecting, analyzing, and interpreting data across the e-commerce business to provide actionable insights that improve sales performance, marketing effectiveness, customer experience, inventory management, logistics, and overall profitability.The ideal candidate should be highly analytical, commercially minded, and proficient in transforming large datasets into clear reports and dashboards that support management decision-making. Key ResponsibilitiesCollect, clean, organize, and analyze data from sales, marketing, customer service, logistics, inventory, and other business functions.Develop and maintain daily, weekly, and monthly dashboards and performance reports.Monitor key e-commerce metrics including revenue, order volume, conversion rate, average order value, customer acquisition cost, ROAS, cancellation rate, return rate, and repeat purchases.Analyze sales performance by product, sales representative, location, marketing channel, and customer segment.Identify trends, patterns, business risks, and opportunities from company data.Analyze customer purchasing behaviour and provide insights that can improve customer retention and repeat purchases.Work closely with the Sales and Marketing teams to evaluate lead quality, conversion rates, campaign performance, and advertising effectiveness.Analyze product performance and identify best-selling, slow-moving, and underperforming products.Monitor order fulfilment, cancellations, failed deliveries, returns, and other operational metrics.Investigate unusual changes in revenue, sales, customer behaviour, or operational performance and provide explanations to management.Develop automated dashboards and reporting systems using Power BI, Excel, Looker Studio, Tableau, or similar tools.Use SQL and other analytical tools to extract and manipulate data from different databases.Ensure the accuracy, consistency, and integrity of business data.Provide forecasts and trend analysis to support sales, inventory, and business planning.Present complex findings in a simple and understandable format to management.Recommend data-driven strategies for improving revenue, conversion, operational efficiency, and profitability. Key Performance Indicators (KPIs)The Data Analyst’s performance can be measured through:Accuracy and timeliness of reportsDashboard reliabilityQuality of business insightsIdentification of revenue opportunities or operational lossesData accuracyThe measurable impact of recommendations on business performance. RequirementsBachelor’s Degree / HND in Statistics, Mathematics, Computer Science, Economics, Data Science, Business Analytics, or a related field with 2 – 4 years of experience in Data Analysis, Business Intelligence, or a related position.Previous experience in e-commerce, retail, FMCG, logistics, fintech, or another data-driven environment is an advantage.Strong proficiency in Microsoft Excel/Google Sheets.Good knowledge of SQL for data extraction and analysis.Experience with Power BI, Tableau, Looker Studio, or similar visualization tools.Knowledge of Python or R for data analysis is an added advantage.Experience working with large datasets and multiple data sources.Understanding of e-commerce and digital marketing metrics.Strong reporting and data visualization skills. Key Skills:Data Analysis & InterpretationAdvanced ExcelSQLPower BI / TableauDashboard DevelopmentData Cleaning & ValidationSales & Revenue AnalysisE-commerce AnalyticsMarketing Performance AnalysisCustomer Behaviour AnalysisForecasting & Trend AnalysisProblem-SolvingAttention to DetailCommercial AwarenessReporting & PresentationPreferred Candidate:A commercially focused Data Analyst who can go beyond preparing reports and use data to answer important business questions such as why sales are declining, which products and channels are most profitable, where the company is losing money, and what actions management should take to improve performance. Application Closing Date30th November, 2026.
Kuda Bank
Data Management
Full-time
Confidential
Location: Lagos About Kuda BankKuda is a full service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the African diaspora wherever they might live, anywhere in the world. Kuda is free of ridiculous banking charges and great at helping customers budget, spend smartly and save more. We raised the largest seed round ever seen in Africa, and completed a Series A funding round in February 2021, led by some of the world’s smartest venture capital investors. With offices in London (our HQ), Lagos and Cape Town, and further offices opening across Africa during 2021, Kuda is fast becoming recognised as the leading ‘Neobank’ for Africans. Role OverviewAs a Senior Data Analyst – Credit, you are supporting the analytics throughout the credit product life cycle, from product design, to credit acquisition, portfolio management, collection and profit & loss.You will work within the Decision Science team, reporting to the Credit Risk Analytics Lead. Key ResponsibilitiesAnalyze portfolio performance metrics to identify trends, risks, and opportunitiesReview and refine credit policies, including rule-based decision enginesBuild and maintain profit and loss forecasts to guide strategic decisionsConduct credit limit assignment and affordability assessmentsPerform score cut-off analysis to improve approval and risk strategiesMonitor and enhance collection strategies based on customer segmentation and outcomesDesign and run A/B tests to assess and optimize lending and collections performanceCommunicate actionable insights and recommendations to senior stakeholders RequirementsAcademic background in a mathematical discipline (e.g. Mathematics, Statistics, Physics, or related field)Minimum of 5 years’ experience as a Quantitative Analyst or Data Analyst in a financial services, fintech or e-commerce environmentStrong proficiency in SQL for data extraction and manipulationHands-on experience with open-source statistical programming languages such as Python or RSolid understanding of statistical tests commonly used in A/B testingExperience using statistical software packages (open-source preferred)Proven experience developing and maintaining analytical reports or dashboards from end-to-endAbility to interpret and present insights from reports in a business context, including stakeholder engagement and recommendation.
Lagos Chamber of Commerce and Industry (LCCI)
Data Management
Full-time
Confidential
Location: LagosEmployment Type: Full-time About the Lagos Chamber of Commerce and Industry (LCCI)The Lagos Chamber of Commerce and Industry (LCCI) is the leading private sector group in Nigeria, established to promote and protect trade and industry.Founded in 1888 and incorporated in 1950, it represents the interests of the business community in Lagos and beyond, advocating for policies that support trade, industry, commerce, and agriculture. The LCCI also provides business development services, training, and information to its members. Job PurposeThe successful candidate will be responsible for designing and implementing surveys, managing research data, conducting statistical and economic analyses, computing business and economic indicators, and producing data-driven reports to support the Chamber’s research, policy advocacy, and private-sector development initiatives.The role will contribute to key research products, including the LCCI Business Confidence Index (BCI), Cost of Doing Business Survey, Small Business Index, Regulatory Impact Assessments, and other economic and sectoral studies.The successful candidate will translate complex data into reliable, actionable insights that inform business decisions, policy recommendations, and stakeholder engagements. Key ResponsibilitiesSurvey Design and Implementation: Design questionnaires, sampling frameworks, data collection instruments, and survey methodologies; coordinate fieldwork and implement robust data quality assurance procedures.Data Management and Statistical Analysis: Clean, validate, process, and analyse quantitative and qualitative datasets using appropriate statistical techniques.Economic and Business Intelligence: Support the computation and analysis of the LCCI Business Confidence Index, Cost of Doing Business Survey, Small Business Index, and other business environment indicators.Regulatory Impact Assessment: Analyse the effects of government policies, regulations, levies, fees, and administrative procedures on businesses and provide evidence to support regulatory reform.Monitoring, Evaluation and Learning: Develop performance indicators, establish baselines, monitor project outcomes, prepare analytical reports, and identify lessons for continuous improvement.Economic and Sectoral Research: Compile and analyse economic data from credible national and international sources to identify trends affecting businesses, investment, productivity, and competitiveness.Research Reporting and Visualisation: Prepare statistical tables, charts, dashboards, technical notes, and analytical sections for research publications, policy briefs, presentations, and advocacy reports.Data Systems and Quality Assurance: Maintain secure, well-documented research databases and introduce appropriate digital tools to improve data collection, processing, analysis, and reporting.Research Collaboration: Work closely with the Research and Advocacy Manager and other departmental colleagues to ensure that data analysis supports sound research findings and practical policy recommendations.Performance ExpectationsPerformance will be assessed against agreed targets, including the accuracy and timeliness of research outputs, quality of survey design and statistical analysis, reliability of business indices, effectiveness of data management systems, and contribution of analytical findings to the Chamber’s research and policy advocacy initiatives. Qualifications and ExperienceApplicants should possess the following:A bachelor’s degree in Statistics, Economics, Econometrics, Mathematics, Data Science, or another relevant quantitative discipline.A master’s degree in Statistics, Economics, Econometrics, Data Science, Applied Mathematics, or a related field will be an added advantage.Three to five years of relevant professional experience in data analysis, survey research, statistical reporting, monitoring and evaluation, or applied economic research.Demonstrable experience in survey design, sampling techniques, data cleaning, statistical analysis, and interpretation of research findings.Proven ability to prepare high-quality analytical reports, statistical tables, charts, dashboards, and presentations.Technical CompetenciesCandidates should demonstrate practical proficiency in relevant data analysis and research tools, including:Statistical Analysis: Stata, R, or Python.Data Collection and Management: Microsoft Excel, KoboToolbox, ODK, SurveyCTO, or comparable platforms.Data Visualisation: Microsoft Power BI, Tableau, Excel dashboards, or similar tools.Database Management: SQL or comparable database tools will be an added advantage. Core Competencies:The ideal candidate should possess:Strong quantitative reasoning, analytical thinking, and statistical problem-solving skills.Sound knowledge of survey methodology, sampling, questionnaire design, and data quality control.Excellent report-writing, data interpretation, and visualisation skills.High standards of accuracy, data integrity, confidentiality, and professional ethics.he ability to manage multiple assignments, meet deadlines, and deliver reliable analytical outputs.An understanding of economic indicators, the Nigerian business environment, regulatory issues, and private-sector development.Strong communication, teamwork, and stakeholder engagement skills. Equal Opportunity and Non-Discrimination:The Lagos Chamber of Commerce and Industry is an equal-opportunity employer committed to fairness, diversity, and inclusion.All qualified candidates are encouraged to apply and will be considered based on their qualifications, competencies, experience, and suitability for the role, without discrimination.
Lagos Chamber of Commerce and Industry (LCCI)
Data Management
Full-time
Confidential
Location: LagosEmployment Type: Full-time About the Lagos Chamber of Commerce and Industry (LCCI)The Lagos Chamber of Commerce and Industry (LCCI) is the leading private sector group in Nigeria, established to promote and protect trade and industry.Founded in 1888 and incorporated in 1950, it represents the interests of the business community in Lagos and beyond, advocating for policies that support trade, industry, commerce, and agriculture. The LCCI also provides business development services, training, and information to its members. Job PurposeThe successful candidate will be responsible for designing and implementing surveys, managing research data, conducting statistical and economic analyses, computing business and economic indicators, and producing data-driven reports to support the Chamber’s research, policy advocacy, and private-sector development initiatives.The role will contribute to key research products, including the LCCI Business Confidence Index (BCI), Cost of Doing Business Survey, Small Business Index, Regulatory Impact Assessments, and other economic and sectoral studies.The successful candidate will translate complex data into reliable, actionable insights that inform business decisions, policy recommendations, and stakeholder engagements. Key ResponsibilitiesSurvey Design and Implementation: Design questionnaires, sampling frameworks, data collection instruments, and survey methodologies; coordinate fieldwork and implement robust data quality assurance procedures.Data Management and Statistical Analysis: Clean, validate, process, and analyse quantitative and qualitative datasets using appropriate statistical techniques.Economic and Business Intelligence: Support the computation and analysis of the LCCI Business Confidence Index, Cost of Doing Business Survey, Small Business Index, and other business environment indicators.Regulatory Impact Assessment: Analyse the effects of government policies, regulations, levies, fees, and administrative procedures on businesses and provide evidence to support regulatory reform.Monitoring, Evaluation and Learning: Develop performance indicators, establish baselines, monitor project outcomes, prepare analytical reports, and identify lessons for continuous improvement.Economic and Sectoral Research: Compile and analyse economic data from credible national and international sources to identify trends affecting businesses, investment, productivity, and competitiveness.Research Reporting and Visualisation: Prepare statistical tables, charts, dashboards, technical notes, and analytical sections for research publications, policy briefs, presentations, and advocacy reports.Data Systems and Quality Assurance: Maintain secure, well-documented research databases and introduce appropriate digital tools to improve data collection, processing, analysis, and reporting.Research Collaboration: Work closely with the Research and Advocacy Manager and other departmental colleagues to ensure that data analysis supports sound research findings and practical policy recommendations. Performance ExpectationsPerformance will be assessed against agreed targets, including the accuracy and timeliness of research outputs, quality of survey design and statistical analysis, reliability of business indices, effectiveness of data management systems, and contribution of analytical findings to the Chamber’s research and policy advocacy initiatives. Qualifications and ExperienceApplicants should possess the following:A bachelor’s degree in Statistics, Economics, Econometrics, Mathematics, Data Science, or another relevant quantitative discipline.A master’s degree in Statistics, Economics, Econometrics, Data Science, Applied Mathematics, or a related field will be an added advantage.Three to five years of relevant professional experience in data analysis, survey research, statistical reporting, monitoring and evaluation, or applied economic research.Demonstrable experience in survey design, sampling techniques, data cleaning, statistical analysis, and interpretation of research findings.Proven ability to prepare high-quality analytical reports, statistical tables, charts, dashboards, and presentations.Technical CompetenciesCandidates should demonstrate practical proficiency in relevant data analysis and research tools, including:Statistical Analysis: Stata, R, or Python.Data Collection and Management: Microsoft Excel, KoboToolbox, ODK, SurveyCTO, or comparable platforms.Data Visualisation: Microsoft Power BI, Tableau, Excel dashboards, or similar tools.Database Management: SQL or comparable database tools will be an added advantage. Core Competencies:The ideal candidate should possess:Strong quantitative reasoning, analytical thinking, and statistical problem-solving skills.Sound knowledge of survey methodology, sampling, questionnaire design, and data quality control.Excellent report-writing, data interpretation, and visualisation skills.High standards of accuracy, data integrity, confidentiality, and professional ethics.he ability to manage multiple assignments, meet deadlines, and deliver reliable analytical outputs.An understanding of economic indicators, the Nigerian business environment, regulatory issues, and private-sector development.Strong communication, teamwork, and stakeholder engagement skills.Equal Opportunity and Non-Discrimination:The Lagos Chamber of Commerce and Industry is an equal-opportunity employer committed to fairness, diversity, and inclusion.All qualified candidates are encouraged to apply and will be considered based on their qualifications, competencies, experience, and suitability for the role, without discrimination.
Dangote Industries Limited
Data Management
Full-time
Confidential
Location: LagosEmployment Type: Full-timeReports To: Head, Supply Chain Excellence & Systems About Dangote GroupDangote Group is one of Nigeria’s most diversified business conglomerates with a hard – earned reputation for excellent business practices and products’ quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa. Job SummaryTo provide data-driven analysis, performance monitoring, forecasting, reporting, and decision support across procurement, inventory management, warehousing, logistics, and material planning functions.The Supply Chain Analyst is responsible for generating actionable insights that improve supply chain efficiency, reduce costs, optimize inventory levels, enhance supplier performance, and support business continuity. Scope of ResponsibilityAnalyzing inventory, warehousing, and logistics data.Monitoring supply chain performance against established KPIs.Supporting demand and material planning activities.Developing dashboards, reports, and performance scorecards.Identifying process improvement opportunities.Conducting spending and inventory performance analysis.Supporting risk identification and mitigation initiatives.Providing management with timely and accurate decision-support information. Key Duties and ResponsibilitiesSupply Chain Analytics & Reporting:Develop and maintain supply chain dashboards and management reports.Analyze procurement, inventory, logistics, and warehousing performance.Monitor trends and identify performance gaps.Provide regular KPI reporting to management.Conduct root cause analysis on supply chain disruptions and inefficienciesInventory Analysis:Monitor inventory levels and stock movements.Analyze slow-moving, obsolete, and excess inventory.Recommend inventory optimization strategies.Support inventory accuracy improvement initiatives.Analyze stock-out risks and critical spare parts availabilityLogistics & Distribution Analysis:Monitor transportation and logistics performance.Analyze freight costs and delivery performance.Support logistics optimization projects.Track demurrage and detention costs.Planning Support:Support demand forecasting and material planning activities.Analyze consumption trends and planning assumptions.Assist in developing replenishment strategies.Monitor forecast accuracy.Continuous Improvement:Identify opportunities for process optimization.Support Lean and continuous improvement initiatives.Participate in supply chain transformation projectsDevelop business cases for operational improvements.Data Governance:Ensure data quality and integrity.Support master data management activitiesMaintain reporting standards and documentation. KPIsTimely Submission of Reports (%)Dashboard Availability/Uptime (%)Identified Cost Saving Opportunities (USD)Continuous Improvement Number of Improvement Initiatives ImplementedMaster Data Accuracy (%)Stakeholder Satisfaction ScoreReporting and Audit Compliance. Key RequirementsEducation and Work Experience:Bachelor’s Degree in: Engineering, Supply Chain Management, Logistics, Economics, Operations Management, Business Administration3–7+ years of progressive experience in supply chain management or heavy manufacturing.Master’s Degree/MBA – added advantage.Professional certification (Lean Six Sigma Green Belt, CIPS, APICS, CILSCM etc.) is an advantageExperience managing multiple priorities, deadlines, and stakeholders simultaneously without loss of qualityExperience with ERP systems and business intelligence tools.Proficiency in Microsoft Office 365 suite — advanced Excel, PowerPoint, Word and Outlook skills are essentialKnowledge of data- management, report generation, and basic data analysis using Excel or BI tools (Power BI, Tableau)Functional Competencies:Supply Chain Management:Inventory ManagementMaterials PlanningDemand ForecastingLogistics ManagementSupplier Performance ManagementAnalytical Competencies:Data AnalysisStatistical AnalysisTrend AnalysisRoot Cause AnalysisCost AnalysisScenario PlanningPerformance Management:KPI DevelopmentDashboard ManagementPerformance ReportingBenchmarkingFinancial Acumen:Spend AnalysisCost ControlBudget MonitoringWorking Capital AnalysisDigital Competencies:ERP Systems:SAP S/4HANASAP MMSAP WM/EWMSAP Ariba (advantageous)Data Analytics Tools:Monitor Power BITableauQlik SenseAdvance Spreadsheet Skills:Microsoft Excel (Advance)Power QueryPower PivotVBA (advantageous)Data Management:SQLData VisualizationData CleansingData GovernanceSupplier Chain Systems:Inventory Optimization ToolsDemand Planning SystemsWarehouse Management Systems (WMS)Transportation Management Systems (TMS)Digital Transformation:Process AutomationAI-Assisted AnalyticsPredictive AnalyticsDigital Reporting SolutionsBehavioural Competencies:Analytical Thinking : Ability to interpret complex data and generate actionable insights.Attention to Detail: Maintains high levels of accuracy and data integrity.Problem Solving: Identifies issues and develops practical solutions.Communication Skills:Presents complex information clearly to stakeholders.Business Partnering: Collaborates effectively across multiple functions.Initiative: Proactively identifies improvement opportunities.Stakeholder Management: Builds productive relationships across the organization.Continuous Learning: Demonstrates commitment to professional development and innovation.Accountability: Takes ownership of deliverables and results.Adaptability: Works effectively in a fast-changing operational environment.
